嵌入式移动数据库探秘

目前．随着移动技术的发展及智能移动终端的普及，人们对移动数据库实时处理和管理要求不断提高，嵌入式移动数据库越来越体现其优越性。嵌入式移动数据库技术已经成为一个十分活跃的研究领域，并引起了越采越广泛的关注。本文阐述了嵌入式移动数据库的概念，应用环境的特点，厦其目标的实现，并探讨了嵌入式移动数据库的几种关键技术。     

移动数据库技术：机遇和挑战

1引言目前,越来越多的用户开始拥有积各种便隽计算设备,例如笔记本心脑PDA等,我们把它们统     

移动学习对高职教育的影响和对策

分析在移动互联网环境下的移动教育和移动学习对高职教育的影响,提出在移动学习环境下的教学研究、教学资源建设和教学过程管理的对策。     

基于移动计算的移动代理平台的实际应用

移动计算被认为是对未来最有影响的四大技术方向之一。它的作用在于将有用、准确、及时的信息与中央信息系统相互作用,分担中央信息系统的计算压力,使这些信息能提供给在任何时间、任何地点需要它的任何用户。为了更好的支持便携式设备上Microsoft的WinCE平台的移动计算,本文通过对基于Java的移动代理系统Aglet的比较,介绍了基于Windows平台的移动代理系统——WinMAS的优越性,同时详细地给出了相关的应用示例。     

基于移动数据库的Mobile Agent应用模型研究

基于移动计算环境的特点,使传统的客户/服务器模型己不能满足需要,人们需要一种更加灵活的体系结构。近年来,关于Mobile Agent的研究引起了广泛的关注。本文提出了一个基于mobile agent的移动数据库模型和相应的体系结构。     

带预读/写的移动事务模型

移动事务处理一直是移动数据库技术中的一个难点和热点。分析了移动事务处理的特点和要求，在引入项读、预写及相应锁的基础上，提出了一种移动事务处理模型Pre-R／W模型，并着重讨论了移动事务处理协议。     

移动计算环境下的通用安全支付系统框架

移动代理在未来的移动商务中具有举足轻重的地位,它能提供更好的灵活性和性能。但也面临着许多新的安全问题。以移动代理和SEMOPS模型为基础,结合现有的移动支付协议,抽象出移动支付系统通用的业务模块,提出了一种新的移动计算环境下通用安全移动支付系统框架。     

移动数据库系统中移动Agent的嵌入

本文的研究重点旨在探讨移动agent技术在移动数据库系统中的应用，具体地说，在研究基于移动agnet的移动数据库模型的基础上，进一步探讨移动agent技术在移动查询处理和移动事务处理中具体实现的可能性和优越性，同时，研究由此产生的移动agent之间并发控制及移动数据管理，移动数据访问的问题。     

基于智能终端的移动税务方案探讨

在移动互联网时代,利用快速发展的移动互联技术实现移动办公,已成为税务信息化关注重点。本文结合移动办公和税务信息化的发展,对如何利用基于3G网络的智能终端的移动信息化技术建设移动税务系统进行探讨。     

移动信息时代移动法律探析

本文追溯了移动互联网兴起过程中新犯罪方式的发展历程,从移动终端设备或信息的窃取到骚扰及色情传播.直到最近,世界各国的政府机构和立法委员会才开始考虑如何界定、监控和打击移动网络、数据和设备的犯罪活动.本文对比了印度和美国的移动法律法规,结合当今国情建议企业管理者拟定办公区域移动设备使用规定.移动互联网技术的发展以及用户工作与生活使用习惯的改变,在推动手机信息获取、存储、处理和传输功能更强大、更加多样化的同时,也开启了网络犯罪持续增加的风险.这需要唤起市民和政府的更高警惕.     

基于多Agent的企业供需网实时决策支持系统

企业供需网业务活动是跨企业并由多个独立的企业实体合作完成的,而每一企业又都占有资源,都具有独立的决策权,这种动态性、分布性特点造成了供需网管理决策的复杂性。应用Agent特性的供需网跨平台的信息系统集成、信息共享在实现系统实时决策,优化协调管理供需网的运作,敏捷适应顾客需求的变化,帮助供需网各企业实体的决策人员做出优化的供需决策起着十分重要的作用。文章提出了一种在Web环境中应用多Agent技术、WWW技术及XML技术的实时决策支持系统体系结构,并通过探讨其多Agent模型、研究分析系统数据交换及供需决策过程,为供需网实现过程优化决策与管理,有效地完成供需网一系列供需任务而提供了一种良好的技术支持。     

基于Bluetooth技术--线数字温/湿度传感器的研究

Bluetooth(蓝牙)技术可实现短距离低功耗无线网络通信.本文提出基于Bluetooth技术的分布式无线网络测控系统的体系结构,并设计了系统的前、后端硬件构成.由此得出Bluetooth传感器的工作原理与功能,重点对Bluetooth温/湿度传感器的电路结构和软件功能及其应用进行了研究和开发.Bluetooth温/湿度传感器由单片机80C51、温/湿度数字传感器模块SH11/15和Bluetooth模块BlueCore01等组成,文中通过对Bluetooth模块BlueCore01和温/湿度数字传感器模块SH11/15的结构特性的分析,对80C51与BlueCore和SH11/15之间接口和通信的软、硬件进行了设计.Bluetooth传感器可实现测控微微网和互联网,扩大和增强了测控应用领域和功能.     

从图像到语言：图像标题生成与描述

图像标题生成与描述的任务是通过计算机将图像自动翻译成自然语言的形式重新表达出来,该研究在人类视觉辅助、智能人机环境开发等领域具有广阔的应用前景,同时也为图像检索、高层视觉语义推理和个性化描述等任务的研究提供支撑。图像数据具有高度非线性和繁杂性,而人类自然语言较为抽象且逻辑严谨,因此让计算机自动地对图像内容进行抽象和总结,具有很大的挑战性。本文对图像简单标题生成与描述任务进行了阐述,分析了基于手工特征的图像简单描述生成方法,并对包括基于全局视觉特征、视觉特征选择与优化以及面向优化策略等基于深度特征的图像简单描述生成方法进行了梳理与总结。针对图像的精细化描述任务,分析了当前主要的图像“密集描述”与结构化描述模型与方法。此外,本文还分析了融合情感信息与个性化表达的图像描述方法。在分析与总结的过程中,指出了当前各类图像标题生成与描述方法存在的不足,提出了下一步可能的研究趋势与解决思路。对该领域常用的MS COCO2014（Microsoft common objects in context）、Flickr30K等数据集进行了详细介绍,对图像简单描述、图像密集描述与段落描述和图像情感描述等代表性模型在数据集上的性能进行了对比分析。由于视觉数据的复杂性与自然语言的抽象性,尤其是融合情感与个性化表达的图像描述任务,在相关特征提取与表征、语义词汇的选择与嵌入、数据集构建及描述评价等方面尚存在大量问题亟待解决。     

基于遥感与GIS的北京市土地利用动态演化模式研究

将土地利用动态变化模型与景观生态学景观格局模型相结合，在1988－2000年北京市遥感数据的基础上，分析了北京市土地利用动态变化模式。研究表明，地形条件对北京市土地利用类型的形成及土寺利用动态变化具有重要影响。在平原地区，农田、城乡居民点及独立工矿用地居于主导地位，土地利用动态变化主要表现为城乡居民点扩展占用耕地及生态退耕。在台地、丘陵和山地地区，林地、草地等自然景观居于主导地位，土地利用动态变化主要表现为生态退耕。北京市土寺利用格局的动态变化表现了城市化、工业化高速发展与退耕还林等生态建设政策实施对土地利用空间格局产生的影响。自然景观增加，景观多样性半加。在自然景观中，林地面积增加，破碎度减小，斑块边界趋于平滑；草地面积减少，趋于破碎。在人文景观中，城镇、农村居民点斑块增大，趋于紧凑，有利于用地节约。农田受到城镇农村居民点扩展及退耕还林政策的双重影响，面积大量减少，破碎度增加。     

铁路超限超重货物装载加固可拓实例推理方法

铁路超限超重货物具有长大、笨重和价值昂贵等特征,装载加固影响因素众多且无法完全量化表达,超限超重货物装载加固决策问题是一个半结构化问题,设计装载加固可拓实例推理技术对提升铁路超限超重货物安全装载水平和运输质量尤为重要。结合铁路超限超重货物特征及其装载加固决策要素,采用可拓基元与实例推理技术,构造超限超重货物装载加固实例推理基础数据与推理规则模块的可拓基元模型,分析装载加固可拓实例属性取值特征,给出局部与全局相似度计算公式,设计超限超重货物装载加固可拓实例推理算法,确定待解实例的解。实例运用表明所给出的可拓实例推理方法可制定出合理安全的装载加固方案,切实有效解决铁路超限超重货物装载加固决策问题。     

Multiple labels associative classification

Building fast and accurate classifiers for large-scale databases is an important task in data mining. There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional techniques. In this paper, the problem of producing rules with multiple labels is investigated, and we propose a multi-class, multi-label associative classification approach (MMAC). In addition, four measures are presented in this paper for evaluating the accuracy of classification approaches to a wide range of traditional and multi-label classification problems. Results for 19 different data sets from the UCI data collection and nine hyperheuristic scheduling runs show that the proposed approach is an accurate and effective classification technique, highly competitive and scalable if compared with other traditional and associative classification approaches. Fadi Abdeljaber Thabtah received a B.S. degree in Computer Science from Philadelphia University, Jordan, in 1997 and an M.S. degree in Computer Science from California State University, USA in 2001. From 1996 to 2001, he worked as professional in database programming and administration in United Insurance Ltd. in Amman. In 2002, he started his academic career and joined the Philadelphia University as a lecturer. He is currently a final graduate student at the Department of Computer Science, Bradford University, UK. He has published about seven scientific papers in the areas of data mining and machine learning. His research interests include machine learning, data mining, artificial intelligence and object-oriented databases. Peter Cowling is a Professor of Computing at the University of Bradford. He obtained M.A. and D.Phil. degrees from the University of Oxford. He leads the Modelling Optimisation Scheduling And Intelligent Control (MOSAIC) research centre (http://mosaic.ac), whose main research interests lie in the investigation and development of new modelling, optimisation, control and decision support technologies, which bridge the gap between theory and practice. Applications include production and personnel scheduling, intelligent game agents and data mining. He has published over 40 scientific papers in these areas and is active as a consultant to industry. Yonghong Peng's research areas include machine learning and data mining, and bioinformatics. He has published more than 35 scientific papers in related areas. Dr. Peng is a member of the IEEE and Computer Society, and has been a member of the programme committee of several conferences and workshops. Dr. Peng referees papers for several journals including the IEEE Trans. on Systems, Man and Cybernetics (part C), IEEE Trans. on Evolutionary Computation, Journal of Fuzzy Sets and Systems, Journal of Bioinformatics, and Journal of Data Mining and Knowledge Discovery, and is refereeing papers for several conferences.     

Effects of touchscreen gesture’s type and direction on finger-touch input performance and subjective ratings

Abstract

This study examined how finger-touch input performance (i.e. task completion time, failure status, and error rate) and subjective ratings (i.e. performance and physical demand) are influenced by touchscreen gestures’ type and direction. Twenty participants performed one-touch (i.e. drag and swipe) and two-touch (i.e. pinch and spread) gesture tasks on a tablet, using several major directions (i.e. eight directions for one-touch and four directions for two-touch gestures). The results showed that swipe was approximately 4.5 times faster than drag, but pinch and spread showed no significant difference in task completion time. Dragging and pinching showed more failures or higher error rates compared to swiping and spreading, respectively. One-touch gestures in the horizontal directions were rated to have higher performance and lower physical demand than those in the vertical and diagonal directions. Two-touch gestures in the horizontal directions took the shortest time but caused more failures and higher error rates.

Practitioner Summary: This study provides evidence for the effects of touchscreen gestures’ type and direction on human performance and subjective ratings, which varied depending on the number of fingers used. Designers should arrange related touchscreen components accordingly, to improve touch-finger input performance and reduce user workload.     

Towards exposure limits for working postures and musculoskeletal symptoms – a prospective cohort study

Occupational postures are considered to be an important group of risk factors for musculoskeletal pain. However, the exposure-outcome association is not clear yet. Therefore, we aimed to determine the exposure-outcome association of working postures and musculoskeletal symptoms. Also, we aimed to establish exposure limits for working postures. In a prospective cohort study among 789 workers, intensity, frequency and duration of postures were assessed at baseline using observations. Musculoskeletal pain was assessed cross-sectionally and longitudinally and associations of postures and pain were addressed using logistic regression analyses. Cut-off points were estimated based on ROC-curve analyses. Associations were found for kneeling/crouching and low-back pain, neck flexion and rotation and neck pain, trunk flexion and low-back pain, and arm elevation and neck and shoulder pain. The results provide insight into exposure-outcome relations between working postures and musculoskeletal symptoms as well as evidence-based working posture exposure limits that can be used in future guidelines and risk assessment tools.

Practitioner Summary: Our study gives insight into exposure-outcome associations of working postures and musculoskeletal symptoms (kneeling/crouching and low-back pain, neck flexion/rotation and neck pain, trunk flexion and low-back pain, and arm elevation and neck and shoulder pain). Results furthermore deliver evidence-based postural exposure limits that can be used in guidelines and risk assessments.     

VPN技术的强健性研究

VPN技术是目前网络安全的重要组成部分,因其保密性强、管理成本低等特点,在企事业LAN、电子商务、电子政务等网络中被广泛使用。其设计包含加解密算法、隧道技术、密钥管理、身份认证等技术,技术涉及到的各种加密方法和管理协议较多,比较复杂。不同的设计和配置效果差异较大。分剐对VPN各个技术层面进行解析,对建立强健稳定的VPN技术进行研究．提出解决方案。     

The effects of recommendations’ presentation on persuasion and satisfaction in a movie recommender system

The explosive growth of Internet applications and content, during the last decade, has revealed an increasing need for information filtering and recommendation. Most research in the area of recommendation systems has focused on designing and implementing efficient algorithms that provide accurate recommendations. However, the selection of appropriate recommendation content and the presentation of information are equally important in creating successful recommender applications. This paper addresses issues related to the presentation of recommendations in the movies domain. The current work reviews previous research approaches and popular recommender systems, and focuses on user persuasion and satisfaction. In our experiments, we compare different presentation methods in terms of recommendations’ organization in a list (i.e. top N-items list and structured overview) and recommendation modality (i.e. simple text, combination of text and image, and combination of text and video). The most efficient presentation methods, regarding user persuasion and satisfaction, proved to be the “structured overview” and the “text and video” interfaces, while a strong positive correlation was also found between user satisfaction and persuasion in all experimental conditions.